Multi-user MIMO channel estimation with multiple CSI feedbacks in an LTE-like scenario

Yen Kai Wang, David W. Lin

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations


Downlink multi-user MIMO (MU-MIMO) has been adopted in some recent wireless communication standards to enhance spectral efficiency, but it requires accurate channel state information at the transmitter (CSIT) to fully exploit its potential. In a frequency-division duplex (FDD) system, the obtaining of CSIT requires receiver feedback, and various CSI compression and feedback methods have been proposed in the literature. The present work considers an LTE-like scenario where the transmitter uses implicit CSI fed back by the receivers to reconstruct the MIMO channel coefficients, where the implicit CSI includes preferred precoding matrices and channel quality indications. To solve for the channel coefficients from these implicit CSI quantities, however, requires multiple feedbacks computed using different sounding pilots. We describe the overall design of the proposed method, formulate the corresponding mathematical problem of CSIT estimation, and derive a solution to the problem considering both time-invariant and time-varying channels. And we present some numerical results to illustrate the performance of the method.

Original languageEnglish
Title of host publication2015 IEEE 81st Vehicular Technology Conference, VTC Spring 2015 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479980888
StatePublished - 1 Jul 2015
Event81st IEEE Vehicular Technology Conference, VTC Spring 2015 - Glasgow, United Kingdom
Duration: 11 May 201514 May 2015

Publication series

NameIEEE Vehicular Technology Conference
ISSN (Print)1550-2252


Conference81st IEEE Vehicular Technology Conference, VTC Spring 2015
CountryUnited Kingdom

Fingerprint Dive into the research topics of 'Multi-user MIMO channel estimation with multiple CSI feedbacks in an LTE-like scenario'. Together they form a unique fingerprint.

Cite this